A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
| Uploaded | Sun Mar 30 23:45:18 2025 |
| md5 checksum | c8e2ff7527018b50bf051d7c5f763319 |
| arch | x86_64 |
| build | py38h295c915_0 |
| depends | _openmp_mutex >=4.5, libgcc-ng >=7.5.0, libstdcxx-ng >=7.5.0, numpy, python >=3.8,<3.9.0a0, scikit-learn !=0.22.0, scipy |
| license | MIT |
| license_family | MIT |
| md5 | c8e2ff7527018b50bf051d7c5f763319 |
| name | lightgbm |
| platform | linux |
| sha1 | 565caf1ffabff4ab50d0915e337e8630b782d21b |
| sha256 | 7278d1f5ddfdacb19bee8c83c4ddb211d26e13b74ae71d446412d955e72f60cd |
| size | 1512207 |
| subdir | linux-64 |
| timestamp | 1633008815333 |
| version | 3.2.1 |